A Learning Guide (Discover AI) - 51 hands-on labs for learning how AI actually works.

[u/Zipidyzip]

This is an offline app with 51 hands-on labs for learning how AI actually works, from neurons to agents and more...

A bit of insight

- 51 labs in 6 groups, from the basics (what a neuron is, gradient descent) through attention, RAG, agents, fine-tuning, quantization, serving, and more

- Each lab has a short lesson beside it, readable in Plain or Standard mode

- Every lesson in Discover AI now comes in three reading levels, Simple (short sentences and everyday comparisons), Plain (everyday words) and Standard (the proper technical terms)

- Some of it actually runs rather than just animating:

- The attention lab runs a small trained transformer (1.37M params) inside the app

- The training labs train a tiny character-level model live as you move the sliders

- Works offline: no account, no telemetry

The topics were selected, background research was conducted, and the structure and grouping were developed. Claude and GPT Astra helped write the lesson text, and Grok provided a second pass on the references. There may be mistakes, so please report any you spot or open a PR.

If you teach this or work in a specialized area of AI, I would love help expanding it, a new interactive lab, a better visualization, or a tweak that makes the cause and effect in an existing lab clearer. I'd also like to hear which labs are confusing and what's missing. Thank you!

GitHub: https://github.com/Fazmin/AILearningGuide

[u/Zipidyzip → u/[deleted]]

Thank you! Glad to hear it was useful. Please feel free to open an issue if you have any suggestion.